Computational predictions for estimating the maximum deflection of reinforced concrete panels subjected to the blast load

Shishegaran, Aydin; Khalili, Mohammad; Karami, Behnam; Rabczuk, Timon; Shishegaran, Arshia

doi:10.1016/j.ijimpeng.2020.103527

Cited by 73 publications

(36 citation statements)

References 51 publications

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“…Yang et al (2019) used the random forest (RF) and the firefly algorithm to predict the dynamic increase factor of steel fiber RC structures. Shishegaran et al (2020) predicted the maximum deflection of reinforced concrete panels by regression models. Godoy et al (2020) adopted several ML algorithms to classify quick and highly sensitive clays from measurements.…”

Section: Introductionmentioning

confidence: 99%

Application of an interpretable artificial neural network to predict the interface strength of a near-surface mounted fiber-reinforced polymer to concrete joint

Peng

2021

J. Zhejiang Univ. Sci. A

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Accurately estimating the interfacial bond capacity of the near-surface mounted (NSM) carbon fiber-reinforced polymer (CFRP) to concrete joint is a fundamental task in the strengthening and retrofit of existing reinforced concrete (RC) structures. The machine learning (ML) approach may provide an alternative to the commonly used semi-empirical or semi-analytical methods. Therefore, in this work we have developed a predictive model based on an artificial neural network (ANN) approach, i.e. using a back propagation neural network (BPNN), to map the complex data pattern obtained from an NSM CFRP to concrete joint. It involves a set of nine material and geometric input parameters and one output value. Moreover, by employing the neural interpretation diagram (NID) technique, the BPNN model becomes interpretable, as the influence of each input variable on the model can be tracked and quantified based on the connection weights of the neural network. An extensive database including 163 pull-out testing samples, collected from the authors' research group and from published results in the literature, is used to train and verify the ANN. Our results show that the prediction given by the BPNN model agrees well with the experimental data and yields a coefficient of determination of 0.957 on the whole database. After removing one non-significant feature, the BPNN becomes even more computationally efficient and accurate. In addition, compared with the existed semi-analytical model, the ANN-based approach demonstrates a more accurate estimation. Therefore, the proposed ML method may be a promising alternative for predicting the bond strength of NSM CFRP to concrete joint for structural engineers.

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Section: Introductionmentioning

confidence: 99%

Application of an interpretable artificial neural network to predict the interface strength of a near-surface mounted fiber-reinforced polymer to concrete joint

Peng

2021

J. Zhejiang Univ. Sci. A

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“…The cross section of the disc geometry was optimized using response surface methodology and the maximum temperature of the disc was found to be linearly correlated with the design parameters. Numerous studies have focused on prediction models to encounter engineer problems [8,9]. Box and Hunter (1957) suggested that a second-order response surface design should be rotatable i.e., the variance of predicted response was constant on spheres.…”

Section: Introductionmentioning

confidence: 99%

“…From the literature review [1][2][3][4][5][6][7][8][9][10][11][12][13], it was found that some of the authors have reported the structural and thermal performance of various brake discs. Since, the structural performance of ventilated brake discs is a function of disc geometry and material, a comprehensive study on optimal combination of geometric parameters needs to be carried out.…”

Section: Introductionmentioning

confidence: 99%

Optimization of ventilated brake disc rotor geometry for enhanced structural characteristics

Bharatish¹,

Roy²

2020

J. meas. eng.

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This paper focuses on analyzing the effect of geometrical parameters on structural performance of the ventilated brake disc. Multi-objective optimization through response surface methodology was deployed for improving the structural performance of ventilated brake discs. Simulation runs were designed based on central composite design technique. The second order regression models correlating the geometry parameters with maximum deformation and equivalent stress were developed. ANOVA was performed to test the significance of disc geometry parameters. The deformation and equivalent stress were influenced by flange outer peripheral radius. While the spigot radius had a significant effect on the deformation but not on equivalent stress. Also, the mounting surface radius influenced the equivalent stress developed on the ventilated brake disc rotor. The multi-objective optimization of geometrical characteristics for minimum deformation (4.2332 µm) and minimum equivalent stress (4.00989 MPa) yielded significant reduction in total deformation and equivalent stress i.e., 10.28 % and 9.12 % respectively at optimal levels of geometrical parameters.

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“…Mohammad Reza Ghasemi et al study the influence of the role of slanted reinforcement on the bending capacity of SS beams [14]. Aydin Shishegaran et al used nonlinear finite element analysis and surrogate models to investigate the resistance of reinforced concrete panels (RCPs) due to explosive loading [15]. Sun et al used ANSYS / LS-DYNA to establish a 3D numerical model, simulating the dynamic response of a concrete-filled steel tube column under an explosive load, then obtained the overall response characteristics of the concretefilled steel tube column [16].…”

Section: Introductionmentioning

confidence: 99%

Propagation of shock wave and structure dynamic response of explosion in a subway station: a case study of Wuhan subway station

Jiang¹,

Hu²,

Zhang³

et al. 2020

J. vibroeng.

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With the development of urbanization, the construction of the subway has been greatly developed. Meanwhile, the public concern of terrorist attacks on subway stations keeps driving the related research. In this paper, the representative subway station of Wuhan Metro Line 8, Mafangshan station, which is now under construction, is taken as a case, the dynamic finite element numerical simulation software ANSYS/LS-DYNA is employed to establish finite element model. The propagation law transmitting through the station structure and the dynamic response of the station under different TNT charges are analyzed. It is indicated that the propagation of shock wave is complicated due to the semi-closed environment of the station as well as the reflection and transmission of the stress wave in the structure. Specifically, in the station structure, the displacement of the platform plate was the largest, under the explosive action of different TNT charge, the displacement of platform plate is 13.6 mm (5 kg), 22. 8mm (10 kg), 35.2 mm (20 kg), 45.6 cm (30 kg), 68.8 cm (40 kg), respectively. The middle part of the pillar was the largest displacement on the pillar. Based on the dynamic stress response analysis of the station pillar, it shows that the maximum value of the stress value in the pillar is located at the junction of the pillar and the plate. Under the explosive action of 40 kg TNT charge, the maximum tensile stress of the junction of the pillar and the plate reached 45.1 MPa. Therefore, more attention should be paid to anti-explosion measures herein. Besides, through the analysis of the tensile stress value at the bottom of the pillar under different charge quantity, the TNT charge quantity for the crack at the bottom of the pillar is determined to be 6.77 kg by the formula fitting.

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Computational predictions for estimating the maximum deflection of reinforced concrete panels subjected to the blast load

Cited by 73 publications

References 51 publications

Application of an interpretable artificial neural network to predict the interface strength of a near-surface mounted fiber-reinforced polymer to concrete joint

Application of an interpretable artificial neural network to predict the interface strength of a near-surface mounted fiber-reinforced polymer to concrete joint

Optimization of ventilated brake disc rotor geometry for enhanced structural characteristics

Propagation of shock wave and structure dynamic response of explosion in a subway station: a case study of Wuhan subway station

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